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Review on Rainfall Forecasting Using Different Techniques and Algorithms

Pallavi , Garima Singh

Rainfall Forecasting is one of the most challenging topics across the globe. Unlike traditional methods, modern Weather forecasting involves a combination of knowledge of trends and patterns and computer models.Using these methods, accurate forescasting could be done. Forecasting System is based on any architecture or technology such as Artificial Neural Network Forecasting, Sensor-Based, Numerical weather prediction model, Fuzzy sub-system or a used friendly web based system. The weather predictions in advance of 2-8 days is also possible. Forecasting could be carried out globally or region based. This paper focuses on giving different ways to forecast the weather in different regions. The paper presents the review of Rainfall Forecasting using different techniques and studies the benefit of using them. It provides a survey of available literatures of some techniques given by different researchers. The technical success, that have been achieved by various researchers in the field of rainfall forecasting ,has been reviewed and presented in this survey paper.

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Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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